Author

Susan Cohen Levine

InsermORCID 0000-0002-8579-9290Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Anila M. D’MelloiD· 1 shared Bangjie WangiD· 1 shared Evelina G. FedorenkoiD· 1 shared Greta TuckuteiD· 1 shared Hope KeaniD· 1 shared Laurent MesnardiD· 1 shared Maureen R. HansoniD· 1 shared Remi Torracinta· 1 shared

Activity by Year

2016-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Anila M. D’MelloORCID

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2 papers

Recent·Most cited

The cerebellum specializes for language even in the absence of contralateral neocortical inputs

Bangjie Wang, Greta Tuckute, Hope Kean, Salomi S. Asaridou, Susan Goldin-meadow A, Susan Cohen Levine, Evelina G. Fedorenko, Anila M. D’Mello

The paper shows that the cerebellum can develop language sensitivity without contralateral neocortical inputs, using cases with atypical brain development.

bioRxiv · Sep 26, 2026 · PreprintNeuroscience

Adaptive Somatic Mutations Calls with Deep Learning and Semi-Simulated Data

Remi Torracinta, Laurent Mesnard, Susan Cohen Levine, Rita Shaknovich, Maureen R. Hanson

The paper presents a deep learning approach for somatic mutation calling using semi-simulated data, achieving high performance on RNA-Seq and exome datasets.

bioRxiv · Oct 4, 2016 · PreprintBioinformatics